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Standard and Super-Resolution Bioimaging Data Analysis gets newcomers to bioimage data analysis quickly up to speed on the mathematics, statistics, computing hardware and acquisition technologies required to correctly process and document data.
The past quarter century has seen remarkable progress in the field of light microscopy for biomedical science, with new imaging technologies coming on the market at an almost annual basis. Most of the data generated by these systems is image-based, and there is a significant increase in the content and throughput of these imaging systems. This, in turn, has resulted in a shift in the literature on biomedical research from descriptive to highly-quantitative. Standard and Super-Resolution Bioimaging Data Analysis satisfies the demand among students and research scientists for introductory guides to the tools for parsing and processing image data. Extremely well illustrated and including numerous examples, it clearly and accessibly explains what image data is and how to process and document it, as well as the current resources and standards in the field.
An entry-level text written for students and practitioners in the bioscience community, Standard and Super-Resolution Bioimaging Data Analysis de-mythologises the vast array of image analysis modalities which have come online over the past decade while schooling beginners in bioimaging principles, mathematics, technologies and standards.
List of Contributors xi
1 Digital Microscopy: Nature to Numbers 1
2 Quantification of Image Data 31
3 Segmentation in Bioimaging 47
4 Measuring Molecular Dynamics and Interactions by Förster Resonance Energy Transfer (FRET) 83
5 FRAP and Other Photoperturbation Techniques 99
6 Co-Localisation and Correlation in Fluorescence Microscopy Data 143
7 Live Cell Imaging: Tracking Cell Movement 173
8 Super-Resolution Data Analysis 201
9 Big Data and Bio-Image Informatics: A Review of Software Technologies Available for Quantifying Large Datasets in Light-Microscopy 227
10 Presenting and Storing Data for Publication 249
11 Epilogue: A Framework for Bioimage Analysis 269
Ann Wheeler, PhD, is Head of the Advanced Imaging Resource at the MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, UK.
Ricardo Henriques, PhD, is Head of the Quantitative Imaging and NanoBioPhysics research group at the MRC Laboratory for Molecular Cell Biology, University College London, UK.